Research Papers:
Clinicopathological and prognostic significance of c-Met overexpression in breast cancer
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Abstract
Xixi Zhao1,*, Jingkun Qu2,*, Yuxin Hui3, Hong Zhang1, Yuchen Sun4, Xu Liu2, Xiaoyao Zhao1, Zitong Zhao1, Qian Yang1, Feidi Wang1 and Shuqun Zhang1
1Department of Oncology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi 710004, P.R. China
2The Second Department of Thoracic Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi 710061, P.R. China
3The School of Traditional Chinese Medicine, Hunan University of Chinese Medicine, Changsha, Hunan 410208, P.R. China
4The Department of Radiation Oncology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi 710061, P.R. China
*These authors have contributed equally to this work
Correspondence to:
Shuqun Zhang, email: [email protected]
Keywords: breast cancer, c-Met, prognosis, meta-analysis
Received: April 05, 2017 Accepted: April 27, 2017 Published: May 24, 2017
ABSTRACT
Background: c-Met has been shown to promote organ development and cancer progression in many cancers. However, clinicopathological and prognostic value of c-Met in breast cancer remains elusive.
Methods: PubMed and EMBASE databases were searched for eligible studies. Correlation of c-Met overexpression with survival data and clinicopathological features was analyzed by using hazard ratio (HR) or odds ratio (OR) and fixed-effect or random-effect model according to heterogeneity. All statistical tests were two-sided.
Results: 32 studies with 8281 patients were analyzed in total. The c-Met overexpression was related to poor OS (overall survival) (HR=1.65 (1.328, 2.051)) of 18 studies with 4751 patients and poor RFS/DFS (relapse/disease free survival) (HR=1.53 (1.20, 1.95)) of 12 studies with 3598 patients. Subgroup analysis according to data source/methods/ethnicity showed c-Met overexpression was related to worse OS and RFS/DFS in Given by author group, all methods group and non-Asian group respectively. Besides, c-Met overexpression was associated with large tumor size, high histologic grade and metastasis.
Conclusions: Our results showed that c-Met overexpression was connected with poor survival rates and malignant activities of cancer, including proliferation, migration and invasion, which highlighted the potential of c-Met as significant candidate biomarker to identify patients with breast cancer at high risk of tumor death.
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